\begin{table}[t]
\centering
\caption{\textbf{Similar Shift toward Republicans among Cubans 
in Miami and Hudson County.}\label{tab:miami_vs_hudson}}
\begin{tabular}{lccc|ccc}
\toprule \toprule
 & \multicolumn{6}{c}{Rep Vote [0-1]} \\
 & \multicolumn{3}{c}{Cities} & \multicolumn{3}{c}{Wards} \\[1mm]
\midrule
Miami $ \times $ Cuban Share $ \times $ 1980 
 & 0.06 & 0.07 
 & -0.10 & 0.06 
 & 0.06 & -0.05 \\
 & (0.11) & (0.18) 
 & (0.33) & (0.05) 
 & (0.12) & (0.08) \\[2mm]
Cuban Share $ \times $ 1980 
 & 0.20 & 0.17 
 & 0.36 & 0.20 
 & 0.18 & 0.31 \\
 & (0.10) & (0.14) 
 & (0.32) & (0.03) 
 & (0.03) & (0.03) \\[2mm]
Neighborhood FE & Yes & Yes & Yes & Yes & Yes & Yes \\
Election FE & Yes & Yes & Yes & Yes & Yes & Yes \\
Black Share Adjustment & No & Yes & No & No & Yes & No \\
White Share Adjustment & No & No & Yes & No & No & Yes \\
Miami Obs &   9 &   9 
 &   9 &   9 
 &   9 &   9 \\
Hudson County Obs &  12 &  12 
 &  12 &  51 
 &  51 &  51 \\[2mm]
\bottomrule \bottomrule
\multicolumn{7}{p{.8\textwidth}}{\footnotesize 
Adjustments for particular subpopulations is done by including 
two additional vairables in the regression: an interaction between 
the subgroup's population share with a flag indicating that the year 
is 1980 and separately the subgroup's population share interacted with 
a flag for 1980 and Miami. 
Block bootstrapped standard errors from 1,000 samples are reported 
in parentheses below each estimate. 
All population share variables, including the Cuban population 
share, range from zero to one.}
\end{tabular}
\end{table}
